Create app.py

app.py

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+import gradio as gr
+import torch
+import torchaudio
+from tortoise.api import TextToSpeech
+from tortoise.utils.audio import load_voice
+
+# Initialize Tortoise-TTS
+tts = TextToSpeech()
+
+# Function to generate speech
+def generate_speech(text, voice):
+    # Load the selected voice
+    voice_samples, conditioning_latents = load_voice(voice)
+
+    # Generate speech
+    with torch.no_grad():
+        gen = tts.tts_with_preset(text, voice_samples=voice_samples, conditioning_latents=conditioning_latents, preset="fast")
+        torchaudio.save("output.wav", gen.squeeze(0).cpu(), 24000)
+
+    return "output.wav"
+
+# Gradio interface
+def tts_app(text, voice):
+    if not text:
+        return "Please enter some text."
+    return generate_speech(text, voice)
+
+# Gradio UI
+with gr.Blocks(
+    theme=gr.themes.Soft(primary_hue="teal", secondary_hue="pink"),
+    css=".gradio-container {background: linear-gradient(135deg, #f5f7fa, #c3cfe2);} "
+        "button {background: linear-gradient(135deg, #6a11cb, #2575fc); color: white; border: none; padding: 10px 20px; border-radius: 5px;} "
+        "button:hover {background: linear-gradient(135deg, #2575fc, #6a11cb);} "
+) as demo:
+    gr.Markdown(
+        """
+        # 🎤 **Voice Cloning and Text-to-Speech**
+        **Convert text into natural-sounding speech or clone a voice!**
+        """
+    )
+
+    with gr.Row():
+        text_input = gr.Textbox(
+            lines=5,
+            label="📝 **Enter Text**",
+            placeholder="Type your text here..."
+        )
+        voice_input = gr.Dropdown(
+            choices=["random", "custom_voice"],  # Add more voices as needed
+            label="🗣️ **Select Voice**",
+            value="random"
+        )
+
+    output_audio = gr.Audio(label="🎧 **Generated Speech**", type="filepath")
+
+    submit_button = gr.Button("✨ **Generate Speech**")
+
+    submit_button.click(
+        tts_app,
+        inputs=[text_input, voice_input],
+        outputs=output_audio
+    )
+
+# Launch the app
+demo.launch()